Data & Analytics
Muhimma — Consumer Intelligence Platform
Continuous consumer-insights platform for challenger brands in KSA and UAE, built on a verified 400,000-member community instead of anonymous panels.
- React.js
- Vite
- JavaScript (ES6+)
- REST APIs
- Bootstrap
- i18n (Arabic/English)
- Cloudflare

- Client
- Muhimma
- Duration
- Feb 2022 — Sep 2022
- Category
- Data & Analytics
Muhimma is a Middle East consumer intelligence platform serving 85+ brands and retailers across Saudi Arabia and the UAE. Where traditional market research delivers a report twelve weeks after the question, Muhimma is always-on: brand health tracking, mental and physical availability, marketing effectiveness, mystery shopping and campaign analytics, running continuously against a community of 400,000 identity-verified members.
The frontend is a Vite-built React application behind Cloudflare, covering a broad solutions surface — market research, data analytics, customer intelligence, basket growth analysis, eCommerce and influencer intelligence, and a UGC content platform. It is fully bilingual, with an Arabic locale that is not a translation layer bolted on but a first-class direction and typography change.
The audience is challenger brands who cannot afford agency rates, so the product's whole promise is depth of insight at a price point that does not require a research department to justify.
Key features
Always-on brand health, availability and marketing effectiveness tracking
Verified-community panel of 400,000 identity-verified members in KSA and UAE
Customer intelligence, basket growth, campaign and eCommerce analytics modules
Mystery shopping and app-experience research surfaces
Full Arabic and English bilingual experience with RTL support
Vite-built React SPA served behind Cloudflare
My role
Frontend developer on the platform's public and solution surfaces.
Built React screens across the market research and data analytics solution areas
Implemented the bilingual Arabic/English experience including RTL layout handling
Integrated the frontend against the insights REST API
Built the navigation architecture covering a large multi-level solutions catalogue
Challenges & solutions
RTL is not a stylesheet flip. Arabic changes layout direction, iconography, number formatting and line-height expectations. Building logical-property layouts from the start avoided a second Arabic-only codebase later.
A solutions catalogue too large for a navbar. The product spans two dozen distinct offerings, so navigation is grouped by the question a visitor is trying to answer rather than by the internal product taxonomy.
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